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Practical guide to implementing ros2_control for real robot control, covering hardware interfaces, configuration, launch files, testing, and troubleshooting odometry and simulation issues.
Learn to create custom hardware interfaces for ros2_control, enabling integration of any hardware. Includes demo code walkthrough, modifications, and practical improvements for robotics projects.
Discover Docker fundamentals: installation, image management, container operations, Dockerfile creation, and file sharing techniques in this concise, hands-on tutorial.
Upgrade your ROS project to the new Gazebo. Learn installation, launch file modifications, URDF changes, topic bridging, ros2_control integration, and world creation for seamless transition.
Explore rmw_zenoh for robust ROS 2 communication across diverse network setups, including internet-based connections. Learn installation, standard configurations, and alternative arrangements.
Learn to control robots using micro-ROS on microcontrollers like Raspberry Pi Pico. Explore publishing, subscribing, and creating custom services for interfacing with low-level hardware.
Learn to use ROS and OpenCV for ball detection and tracking, enabling a robot to follow a tennis ball in both simulated and real-world environments.
Learn to implement robot navigation using Nav2 and ROS, covering setup, simulation in Gazebo, real-world application, AMCL integration, and practical tips for efficient implementation.
Learn to implement SLAM for mobile robots using ROS and slam_toolbox. Covers setup, mapping, localization, and practical application on real robots. Ideal for beginners in robotics and autonomous navigation.
Learn advanced ROS robot control techniques, including web servers, Foxglove Studio, RViz Teleop, and stamped twists. Explore simulation improvements and alternative teleop tools for enhanced mobile robotics.
Learn to control homemade robots wirelessly using game controllers. Explore Linux and ROS integration, joystick-to-command conversion, and real-time feedback visualization in RViz.
Overview of ros2_control implementation in Gazebo simulation, covering hardware interfaces, controllers, and practical setup for robotic systems.
Learn to integrate depth cameras with ROS for 3D vision in robotics. Covers simulation in Gazebo, real camera setup (OAK-D Lite), and point cloud visualization for enhanced robot perception.
Comprehensive guide on integrating cameras in ROS, covering theory, simulation, image viewing, compression, and real camera connections for robotics applications.
Learn to integrate LIDAR into ROS robots, covering URDF modifications, Gazebo simulation, and real hardware integration. Gain practical insights for enhancing robot perception capabilities.
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